CN110825632A - Method, system and device for testing cloud computing resource metering data and electronic equipment - Google Patents
Method, system and device for testing cloud computing resource metering data and electronic equipment Download PDFInfo
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Abstract
The embodiment of the application provides a method, a system, a device and an electronic device for testing cloud computing resource metering data, relates to the technical field of data processing, and by acquiring request information of front-end services, according to the request information, calling a preset distributed full-text search engine ES interface and a preset metering platform interface, acquiring metering original data corresponding to the metering information of the service to be processed through the preset ES interface, sending the metering original data to the preset metering platform through the preset metering platform interface, and acquiring metering data to be measured through the preset metering platform interface, and processing the original metering data to obtain processed metering data, and comparing the processed metering data with the to-be-tested metering data to obtain a test result, so that the metering value is automatically calculated, and the automatic test of the metering data is realized.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a method, a system, an apparatus, and an electronic device for testing cloud computing resource metering data.
Background
In recent years, metering data is applied to various industries, is taken as a management tool and means, and is scientifically and accurately metered by utilizing the collection, diagnosis and analysis of the metering data, such as data metering of cloud computing resources and the like. In order to ensure the accuracy of the metering data, the metering data needs to be tested, and the conventional metering system testing method mainly calls the original data returned by an ES (electronic search, distributed full-text retrieval engine) to export to an Excel table, then carries out manual metering calculation, and finally compares the original data with the data returned by a metering platform.
Disclosure of Invention
The embodiment of the application aims to provide a method, a system, a device, electronic equipment and a storage medium for testing metering data of cloud computing resources, so as to realize automatic calculation of metering values and automatic testing of metering data.
The specific technical scheme is as follows:
in a first aspect, an embodiment of the present application provides a method for testing cloud computing resource metering data, including:
acquiring request information of a front-end service, wherein the request information comprises service metering information to be processed;
calling a preset distributed full-text retrieval engine ES interface and a preset metering platform interface according to the request information;
acquiring metering original data corresponding to the to-be-processed service metering information through the preset ES interface;
sending the metering original data to the preset metering platform through the preset metering platform interface, and acquiring metering data to be measured through the preset metering platform interface, wherein the metering data to be measured is obtained by calculating the metering original data by the preset metering platform;
carrying out metering processing on the metering original data to obtain processed metering data;
and comparing the processed metering data with the to-be-tested metering data to obtain a test result.
Optionally, the metering original data to obtain processed metering data includes:
determining a preset metering method corresponding to the metering original data according to the type of the metering original data;
and carrying out metering processing on the metering original data according to the preset metering method, wherein the preset metering method comprises a preset conversion method and a preset calculation method.
Optionally, the metering raw data according to the preset metering method includes:
converting the measurement unit of the measurement original data according to a preset conversion method to obtain converted measurement data;
and carrying out metering calculation on the converted metering data according to a preset calculation method to obtain the processed metering data.
Optionally, after comparing the processed metrology data with the metrology data to be tested to obtain a test result, the method further includes:
and sending the test result to the front end for displaying.
Optionally, the comparing the processed metering data with the to-be-tested metering data to obtain a test result includes:
comparing the processed metering data with the to-be-tested metering data, and when the processed metering data is the same as the to-be-tested metering data, passing the test; and when the processed metering data is different from the metering data to be tested, the test is failed.
Optionally, the method further includes:
and when the test result is that the test result does not pass, sending preset fault information.
Optionally, the obtaining, through the preset ES interface, the original metering data corresponding to the to-be-processed service metering information includes:
and acquiring the metering original data corresponding to the to-be-processed service metering information through the preset ES interface at a preset frequency.
In a second aspect, an embodiment of the present application provides a cloud computing resource metering data testing system, including:
the system comprises a server, a preset distributed full-text retrieval engine and a preset metering platform;
the server is used for acquiring service request information sent by a user and sending the service request information to the preset distributed full-text retrieval engine and the preset metering platform;
the preset distributed full-text retrieval engine is used for acquiring metering original data corresponding to the service request information according to the service request information and sending the metering original data to the server;
the preset metering platform is used for acquiring the metering original data from the server, calculating the metering original data to obtain metering data to be measured, and sending the metering data to be measured to the server;
the server is used for receiving the metering original data sent by the preset distributed full-text retrieval engine; sending the metering original data to the preset metering platform; receiving the metering data to be measured sent by the preset metering platform; carrying out metering processing on the metering original data to obtain processed metering data; and comparing the processed metering data with the to-be-tested metering data to obtain a test result.
Optionally, the server is further configured to:
determining a preset metering method corresponding to the metering original data according to the type of the metering original data;
and carrying out metering processing on the metering original data according to the preset metering method, wherein the preset metering method comprises a preset conversion method and a preset calculation method.
Optionally, the server is further configured to:
converting the measurement unit of the measurement original data according to a preset conversion method to obtain converted measurement data;
and carrying out metering calculation on the converted metering data according to a preset calculation method to obtain the processed metering data.
Optionally, the server is further configured to:
comparing the processed metering data with the to-be-tested metering data, and when the processed metering data is the same as the to-be-tested metering data, passing the test; and when the processed metering data is different from the metering data to be tested, the test is failed.
In a third aspect, an embodiment of the present application provides a cloud computing resource measurement data testing apparatus, including:
the system comprises a first acquisition module, a second acquisition module and a processing module, wherein the first acquisition module is used for acquiring request information of front-end services, and the request information comprises service metering information to be processed;
the calling module is used for calling a preset distributed full-text retrieval engine ES interface and a preset metering platform interface according to the request information;
the second acquisition module is used for acquiring metering original data corresponding to the to-be-processed service metering information through the preset ES interface;
the third acquisition module is used for sending the metering original data to the preset metering platform through the preset metering platform interface and acquiring metering data to be measured through the preset metering platform interface, wherein the metering data to be measured is obtained by calculating the metering original data through the preset metering platform;
the processing module is used for carrying out metering processing on the metering original data to obtain processed metering data;
and the test module is used for comparing the processed metering data with the to-be-tested metering data to obtain a test result.
Optionally, the processing module includes:
the determining submodule is used for determining a preset metering method corresponding to the metering original data according to the type of the metering original data;
and the metering submodule is used for metering the metering original data according to the preset metering method, and the preset metering method comprises a preset conversion method and a preset calculation method.
Optionally, the metering submodule is specifically configured to:
converting the measurement unit of the measurement original data according to a preset conversion method to obtain converted measurement data;
and carrying out metering calculation on the converted metering data according to a preset calculation method to obtain the processed metering data.
Optionally, the apparatus further comprises:
and the display module is used for comparing the processed metering data with the to-be-tested metering data to obtain a test result, and then sending the test result to the front end for displaying.
Optionally, the test module is specifically configured to:
comparing the processed metering data with the to-be-tested metering data, and when the processed metering data is the same as the to-be-tested metering data, passing the test; and when the processed metering data is different from the metering data to be tested, the test is failed.
Optionally, the apparatus further comprises:
and the fault module is used for sending preset fault information when the test result is failed.
Optionally, the second acquisition module is specifically configured to:
and acquiring the metering original data corresponding to the to-be-processed service metering information through the preset ES interface at a preset frequency.
In a fourth aspect, an embodiment of the present application provides an electronic device, including: a processor, a communication interface, a memory, and a communication bus, wherein,
the processor, the communication interface and the memory complete mutual communication through a communication bus;
a memory for storing a computer program;
a processor, configured to implement the method for testing cloud computing resource metering data according to any one of the first aspect described above when executing a program stored in a memory.
In a fifth aspect, an embodiment of the present application provides a storage medium, where a computer program is stored in the storage medium, and when executed by a processor, the computer program implements any of the cloud computing resource metering data testing methods described in any of the first aspects.
In a sixth aspect, an embodiment of the present application provides a computer program product containing instructions, which when run on a computer, causes the computer to execute the method for testing cloud computing resource metering data according to any one of the above first aspects.
The cloud computing resource metering data testing method, the cloud computing resource metering data testing system, the cloud computing resource metering data testing device, the electronic equipment, the storage medium and the computer program product containing instructions are characterized in that the method comprises the steps of obtaining request information of front-end service, calling a preset distributed full-text retrieval Engine (ES) interface and a preset metering platform interface according to the request information, obtaining metering original data corresponding to the to-be-processed service metering information through the preset ES interface, sending the metering original data to the preset metering platform through the preset metering platform interface, obtaining metering data to be tested through the preset metering platform interface, processing the metering original data to obtain processed metering data, comparing the processed metering data with the metering data to be tested to obtain a testing result, and realizing automatic metering value calculation, therefore, the automatic test of the metering data is realized. Of course, not all advantages described above need to be achieved at the same time in the practice of any one product or method of the present application.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a cloud computing resource metering data testing method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a cloud computing resource metering data testing system according to an embodiment of the present application;
fig. 3 is a schematic diagram of a cloud computing resource metering data testing apparatus according to an embodiment of the present application;
fig. 4 is a schematic diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application discloses a method, a system, a device, electronic equipment, a storage medium and a computer program product containing instructions for testing cloud computing resource metering data, which are respectively described below.
An embodiment of the present application provides a method for testing cloud computing resource metering data, referring to fig. 1, where fig. 1 is a schematic diagram of the method for testing cloud computing resource metering data according to the embodiment of the present application, and the method includes the following steps:
The cloud computing resource metering data testing method provided by the embodiment of the application can be realized through electronic equipment, and specifically, the electronic equipment is a server.
In order to test the measurement result, the server needs to first obtain request information of a front-end service, where the front-end service is a related service that can be measured, such as a telephone service and a platform network traffic service. For example, the front-end service is a platform network traffic service, the to-be-processed service metering information includes daily traffic, monthly traffic, daily peak bandwidth, monthly enhanced 95 peak, monthly enhanced 97 peak, daily storage amount, and the like, the server may input variable values related to the platform network traffic service, such as start-stop time, user id, machine room, project system, and the like, on a visual interface of the front-end in order to obtain request information of the front-end service, which represents pulling of metering data used by a specified user for a specified project in a specified machine room within a specified time period, and the server may obtain the request information of the front-end service according to the variable values, where the request information includes to-be-processed service metering information, such as start-stop time, user id, machine room, project system, and the like. Specifically, the front end may generate request information of the front end service according to the input variable value related to the platform network traffic service, and then send the request information of the front end service to the server, specifically, may send an http (hypertext transfer Protocol) request to the server through a requests library (a requirement library); the server may also obtain the variable value related to the input platform network traffic service to generate request information of the front-end service, and generate the request information of the front-end service, which is not limited herein.
And step 120, calling a preset distributed full-text retrieval engine ES interface and a preset metering platform interface according to the request information.
The server can call a preset distributed full-text search engine ES interface and a preset metering platform interface according to the request information, so that metering original data corresponding to the to-be-processed business metering information can be obtained through the preset distributed full-text search engine according to the request information, and the preset metering platform can calculate the metering original data.
And step 130, acquiring the metering original data corresponding to the to-be-processed service metering information through the preset ES interface.
The metering original data corresponding to the to-be-processed service metering information can be obtained through the preset ES interface server, so that the metering original data can be automatically metered by the server, the processed metering data can be obtained, and the automatic testing of the metering data can be further realized.
In a possible implementation manner, the obtaining of the metering raw data corresponding to the to-be-processed service metering information through the preset ES interface includes:
and acquiring the metering original data corresponding to the to-be-processed service metering information through the preset ES interface at a preset frequency.
For example, if the preset ES interface sends 1 data point to the server every 5 minutes, the preset ES interface sends 288 data points to the server every 5 minutes for 1 day.
After the server acquires the metering original data, the metering original data are sent to the preset metering platform through the preset metering platform interface, the preset metering platform can calculate and process the metering original data, so that metering data to be tested are obtained, the preset metering platform sends the metering data to be tested to the server through the preset metering platform interface, and the metering data to be tested are tested objects.
And 150, carrying out metering processing on the metering original data to obtain processed metering data.
And after the metering original data corresponding to the to-be-processed service metering information is acquired through the preset ES interface, the server performs metering processing on the metering original data to obtain processed metering data. The measurement processing of the raw measurement data by the server includes conversion of measurement units of the raw measurement data, measurement calculation of the converted measurement data, or the like, or the measurement calculation of the raw measurement data may be performed first, and then unit conversion may be performed according to the measurement units, and the measurement calculation items include daily traffic, monthly traffic, daily peak bandwidth, monthly enhanced 95 peak, monthly enhanced 97 peak, daily storage amount, and the like. The metering mode of the metering calculation item can be determined according to the category of the metering calculation item.
For example, the calculation of the monthly enhanced 95 peak value, according to the metering original data corresponding to the to-be-processed service metering information acquired from the ES interface, e.g., 288 raw data points per day, convert 288 raw data points per day per month into json strings, get () function resolves the size of each point from the json string, then sort it from big to small with sort, get the 5 th highest peak point from the sort array, then 5 th high peak point of each day in the current month is sorted from high to low, the 5 th high peak points of the first 5 highest days in the new sorting array are averaged, namely, a moon enhanced 95 peak value is obtained, and finally, the metering data to be measured is obtained through the preset metering platform interface, and converting the measurement unit of the monthly enhancement 95 peak value, so that the measurement unit of the monthly enhancement 95 peak value is the same as the measurement unit of the monthly enhancement 95 peak value in the measurement data to be measured acquired through the preset measurement platform interface. Similarly, 288 original data points per day are converted into json strings, the size of each point is analyzed from the json strings by using json get (), then the data are sorted from large to small by using sort (True), the 5 th peak point is obtained from the sorting array, then the 5 th peak point per day is sorted from high to low, the 5 th peak points in the first 5 highest days in the new sorting array are averaged to obtain the daily enhancement 95 peak value, finally the to-be-measured measurement data are obtained through the preset measurement platform interface, and the measurement unit of the daily enhancement 95 peak value is converted, so that the measurement unit of the daily enhancement 95 peak value is the same as the measurement unit of the daily enhancement 95 peak value in the to-be-measured measurement data obtained through the preset measurement platform interface. Accordingly, from the monthly enhancement 95 peak values, an average of the monthly enhancement 95 peak values can be obtained. Similarly, from the daily enhancement 95 peak, an average of the daily enhancement 95 peak can be obtained. Other peak bandwidths, and averages of other peak bandwidths, such as the monthly boost 97 peak, the monthly boost 97 peak average, the monthly boost 99 peak average, etc., may be calculated in the same manner.
For example, the monthly peak bandwidth is calculated, 288 raw data points per day in one month are converted into json strings according to metering raw data corresponding to the to-be-processed service metering information acquired from the ES interface, the size of each point is analyzed from the json strings by json get (), the unit of the analyzed data is converted according to the metering unit of the monthly peak bandwidth in the to-be-measured data acquired through the preset metering platform interface, so that the metering unit of the monthly peak bandwidth is the same as the metering unit of the monthly peak bandwidth in the to-be-measured data acquired through the preset metering platform interface, then the metering unit is sorted from large to small by sort, and the 1 st highest peak point is acquired from the sorting array as the monthly peak bandwidth.
For example, calculating daily peak bandwidth, converting 288 raw data points per day into json strings according to metering raw data corresponding to the to-be-processed service metering information acquired from the ES interface, analyzing the size of each point from the json strings by using json get (), converting the unit of the analyzed data according to the metering unit of the daily peak bandwidth in the to-be-measured metering data acquired through the preset metering platform interface so that the metering unit of the daily peak bandwidth is the same as the metering unit of the daily peak bandwidth in the to-be-measured metering data acquired through the preset metering platform interface, then sorting the metering units from large to small by using sort (True), and acquiring the 1 st highest peak point from the sorting array as the daily peak bandwidth.
For example, the calculation of the peak bandwidth shared by the machine room is performed, because the request Information includes the service metering Information to be processed, such as start and stop time, user id, machine room, project system and the like, 288 original data points per day are converted into json strings, and the size of each point is analyzed from the json strings by using json get (), so that the maximum value is obtained by summing the peaks at the same time point according to all EIPs (Enterprise Information Portal) of the same client and the same machine room, namely the peak bandwidth shared by the machine room.
And step 160, comparing the processed metering data with the to-be-tested metering data to obtain a test result.
And comparing the processed metering data with the to-be-tested metering data to obtain a test result. When the processed metering data is the same as the to-be-tested metering data, the test is passed; and when the processed metering data is different from the to-be-tested metering data, the test is failed.
The embodiment of the application provides a method for testing cloud computing resource metering data, which comprises the steps of obtaining request information of a front-end service, calling a preset distributed full-text retrieval Engine (ES) interface and a preset metering platform interface according to the request information, obtaining metering original data corresponding to the metering information of a service to be processed through the preset ES interface, sending the metering original data to the preset metering platform through the preset metering platform interface, obtaining metering data to be tested through the preset metering platform interface, processing the metering original data to obtain processed metering data, comparing the processed metering data with the metering data to be tested to obtain a test result, and realizing automatic metering value calculation, so that the automatic test and the automatic test of the metering data are realized, the test efficiency is improved, the test accuracy can be ensured. In addition, because the metering original data corresponding to the to-be-processed service metering information is directly obtained through the preset ES interface, dependence on historical data of a database is not needed, more metering data tests of service application scenes can be covered, and the maintenance cost is low.
In one possible embodiment, the measuring the raw measurement data to obtain the processed measurement data includes:
determining a preset metering method corresponding to the metering original data according to the type of the metering original data;
and carrying out metering processing on the metering original data according to the preset metering method, wherein the preset metering method comprises a preset conversion method and a preset calculation method.
Determining a preset metering method corresponding to the metering original data according to the type of the metering original data, and metering the metering original data according to the preset metering method, wherein the preset metering method comprises a preset conversion method and a preset calculation method, the preset conversion method is used for converting a metering unit of the metering original data, and the preset calculation method is used for metering and calculating the data. The measurement processing of the measured original data by the server includes conversion of a measurement unit of the measured original data according to a preset conversion method, measurement calculation of the converted measured data according to a preset calculation method, or measurement calculation of the measured original data according to a preset calculation method, unit conversion according to a preset conversion method according to a measurement unit, and the measurement calculation items include daily traffic, monthly traffic, daily peak bandwidth, monthly enhanced 95 peak, monthly enhanced 97 peak, daily storage amount, and the like. The metering mode of the metering calculation item can be determined according to the category of the metering calculation item.
For example, calculating a monthly enhanced 95 peak value, converting 288 raw data points per day into json strings according to metering raw data corresponding to the to-be-processed service metering information acquired from an ES interface, for example, 288 raw data points per day, analyzing the size of each point from the json string by using json get (), converting the unit of the analyzed data according to the metering unit of the monthly enhanced 95 peak value in the to-be-measured metering data acquired through the preset metering platform interface, so that the metering unit of the monthly enhanced 95 peak value is the same as the metering unit of the monthly enhanced 95 peak value in the to-be-measured metering data acquired through the preset metering platform interface, then sorting the metering units from large to small by using sort (reverse True), acquiring a 5 th highest peak value point from a sorting array, then sorting the 5 th highest peak value point per day in the month from high to low, averaging the 5 th highest peak value points in the new sorting array, i.e. a monthly enhancement 95 peak is obtained.
In a possible embodiment, the metering the raw metering data according to the preset metering method includes:
converting the measurement unit of the measurement original data according to a preset conversion method to obtain converted measurement data;
and carrying out metering calculation on the converted metering data according to a preset calculation method to obtain the processed metering data.
For example, calculating a monthly enhanced 95 peak value, converting 288 raw data points per day into json strings according to metering raw data corresponding to the to-be-processed service metering information acquired from an ES interface, for example, 288 raw data points per day, analyzing the size of each point from the json string by using json get (), converting the unit of the analyzed data according to the metering unit of the monthly enhanced 95 peak value in the to-be-measured metering data acquired through the preset metering platform interface, so that the metering unit of the monthly enhanced 95 peak value is the same as the metering unit of the monthly enhanced 95 peak value in the to-be-measured metering data acquired through the preset metering platform interface, then sorting the metering units from large to small by using sort (reverse True), acquiring a 5 th highest peak value point from a sorting array, then sorting the 5 th highest peak value point per day in the month from high to low, averaging the 5 th highest peak value points in the new sorting array, i.e. a monthly enhancement 95 peak is obtained.
In a possible embodiment, after comparing the processed metrology data with the metrology data to be tested to obtain a test result, the method further includes:
and sending the test result to the front end for displaying.
The server sends the test result to the front end for displaying so that the user can visually check the test result. In addition, the server can also send the processed metering data to the front end for display, so that a user can visually check the processing result.
In one possible embodiment, the comparing the processed metrology data with the metrology data to be tested to obtain a test result includes:
comparing the processed metering data with the to-be-tested metering data, and when the processed metering data is the same as the to-be-tested metering data, passing the test; and when the processed metering data is different from the to-be-tested metering data, the test is failed.
The server compares the processed metering data with the to-be-tested metering data, and when the processed metering data is the same as the to-be-tested metering data, the server indicates that the test is passed; and when the processed metering data is different from the to-be-tested metering data, the test is failed.
In a possible embodiment, the method further includes:
and when the test result is that the test result is not passed, sending preset fault information.
When the test result is that the fault information fails, the server can automatically send preset fault information, specifically, the preset fault information can be sent to a preset target by sending an email, or a preset fault report is sent to the front end.
An embodiment of the present application provides an image data transmission system, referring to fig. 2, where fig. 2 is a schematic diagram of a cloud computing resource metering data testing system according to an embodiment of the present application, and includes:
the server 210, the default distributed full-text search engine 220, and the default metering platform 230.
The server 210 is configured to obtain service request information sent by a user, and send the service request information to the preset distributed full-text search engine 220 and the preset metering platform 230.
The service request information sent by the user can be related to metered services, such as telephone services and platform network traffic services. For example, the service request information sent by the user is a platform network traffic service, variable values related to the platform network traffic service, such as start-stop time, user id, machine room, project system, and the like, are input on a visual interface at the front end, which represents pulling of metering data used by a specified user in a specified machine room in a specified time period, and according to the variable values related to the platform network traffic service input on the visual interface at the front end by the user, the server 210 obtains the service request information sent by the user and sends the service request information to the preset distributed full-text search engine 220 and the preset metering platform 230.
The preset distributed full-text search engine 220 is configured to obtain metering raw data corresponding to the service request information according to the service request information, and send the metering raw data to the server 230.
The preset distributed full-text retrieval engine may obtain the metering raw data corresponding to the service request information according to the service request information, and send the metering raw data to the server 210, so that the preset metering platform 230 may calculate the metering raw data to obtain the metering data to be measured, and the server 210 may also calculate the metering raw data to check the accuracy of the metering data to be measured.
The preset metering platform 230 is configured to obtain the metering raw data from the server 210, calculate the metering raw data to obtain to-be-measured metering data, and send the to-be-measured metering data to the server 210.
The preset metering platform 230 obtains the metering raw data from the server 210, calculates the metering raw data to obtain to-be-measured metering data, and sends the to-be-measured metering data to the server 210, so that the server 210 can test the accuracy of the calculated to-be-measured metering data.
The server 210 is configured to; receiving the metering raw data sent by the preset distributed full-text retrieval engine 220, and sending the metering raw data to the preset metering platform 230; receiving the metering data to be measured sent by the preset metering platform 230; processing the metering original data to obtain processed metering data; and comparing the processed metering data with the to-be-tested metering data to obtain a test result.
The server 210 receives the metering raw data sent by the preset distributed full-text search engine 220, sends the metering raw data to the preset metering platform 230, receives the to-be-measured metering data sent by the preset metering platform 230, processes the metering raw data to obtain processed metering data, and compares the processed metering data with the to-be-measured metering data to obtain a test result.
The embodiment of the present application provides a cloud computing resource metering data testing system, which obtains service request information sent by a user through the server 210, and sends the service request information to the preset distributed full-text search engine 220 and the preset metering platform 230, where the preset distributed full-text search engine 220 is configured to obtain metering raw data corresponding to the service request information according to the service request information, and send the metering raw data to the server 210, the preset metering platform 230 of the server 210 obtains the metering raw data from the server 210, and calculates the metering raw data to obtain metering data to be tested, and sends the metering data to be tested to the server 210, the server 210 processes the metering raw data to obtain processed metering data, and compares the processed metering data with the metering data to be tested, and a test result is obtained, and the automatic calculation of the metering value is realized, so that the automatic test of the metering data is realized. In addition, because the metering original data corresponding to the to-be-processed service metering information is directly obtained through the preset ES interface, dependence on historical data of a database is not needed, more metering data tests of service application scenes can be covered, and the maintenance cost is low.
In one possible implementation, the server 210 is further configured to:
determining a preset metering method corresponding to the metering original data according to the type of the metering original data;
and carrying out metering processing on the metering original data according to the preset metering method, wherein the preset metering method comprises a preset conversion method and a preset calculation method.
Determining a preset metering method corresponding to the metering original data according to the type of the metering original data, and metering the metering original data according to the preset metering method, wherein the preset metering method comprises a preset conversion method and a preset calculation method, the preset conversion method is used for converting a metering unit of the metering original data, and the preset calculation method is used for metering and calculating the data. The measurement processing of the measured original data by the server includes conversion of a measurement unit of the measured original data according to a preset conversion method, measurement calculation of the converted measured data according to a preset calculation method, or measurement calculation of the measured original data according to a preset calculation method, unit conversion according to a preset conversion method according to a measurement unit, and the measurement calculation items include daily traffic, monthly traffic, daily peak bandwidth, monthly enhanced 95 peak, monthly enhanced 97 peak, daily storage amount, and the like. The metering mode of the metering calculation item can be determined according to the category of the metering calculation item.
For example, calculating a monthly enhanced 95 peak value, converting 288 raw data points per day into json strings according to metering raw data corresponding to the to-be-processed service metering information acquired from an ES interface, for example, 288 raw data points per day, analyzing the size of each point from the json string by using json get (), converting the unit of the analyzed data according to the metering unit of the monthly enhanced 95 peak value in the to-be-measured metering data acquired through the preset metering platform interface, so that the metering unit of the monthly enhanced 95 peak value is the same as the metering unit of the monthly enhanced 95 peak value in the to-be-measured metering data acquired through the preset metering platform interface, then sorting the metering units from large to small by using sort (reverse True), acquiring a 5 th highest peak value point from a sorting array, then sorting the 5 th highest peak value point per day in the month from high to low, averaging the 5 th highest peak value points in the new sorting array, i.e. a monthly enhancement 95 peak is obtained.
In one possible implementation, the server 210 is further configured to:
converting the measurement unit of the measurement original data according to a preset conversion method to obtain converted measurement data;
and carrying out metering calculation on the converted metering data according to a preset calculation method to obtain the processed metering data.
For example, calculating a monthly enhanced 95 peak value, converting 288 raw data points per day into json strings according to metering raw data corresponding to the to-be-processed service metering information acquired from an ES interface, for example, 288 raw data points per day, analyzing the size of each point from the json string by using json get (), converting the unit of the analyzed data according to the metering unit of the monthly enhanced 95 peak value in the to-be-measured metering data acquired through the preset metering platform interface, so that the metering unit of the monthly enhanced 95 peak value is the same as the metering unit of the monthly enhanced 95 peak value in the to-be-measured metering data acquired through the preset metering platform interface, then sorting the metering units from large to small by using sort (reverse True), acquiring a 5 th highest peak value point from a sorting array, then sorting the 5 th highest peak value point per day in the month from high to low, averaging the 5 th highest peak value points in the new sorting array, i.e. a monthly enhancement 95 peak is obtained.
In one possible implementation, the server 210 is further configured to:
comparing the processed metering data with the to-be-tested metering data, and when the processed metering data is the same as the to-be-tested metering data, passing the test; and when the processed metering data is different from the to-be-tested metering data, the test is failed.
The server 210 compares the processed measurement data with the measurement data to be tested, and when the processed measurement data is the same as the measurement data to be tested, the server indicates that the test is passed; and when the processed metering data is different from the to-be-tested metering data, the test is failed.
In one possible implementation, the server 210 is further configured to: and when the test result is that the test result fails, sending preset fault information.
When the test result is failed, the server 210 may automatically send the preset failure information, specifically, may send an email to the preset target.
In a possible implementation manner, the server 210 is further configured to compare the processed metering data with the to-be-tested metering data to obtain a test result, and then send the test result to a front end for displaying.
The server sends the test result to the front end for displaying so that the user can visually check the test result. In addition, the server can also send the processed metering data to the front end for display, so that a user can visually check the processing result.
An embodiment of the present application provides an image data transmission apparatus, referring to fig. 3, where fig. 3 is a schematic diagram of a cloud computing resource metering data testing apparatus according to an embodiment of the present application, and the image data transmission apparatus includes: the system comprises a first acquisition module 310, a calling module 320, a second acquisition module 330, a third acquisition module 340, a processing module 350 and a testing module 360.
A first acquisition module 310, configured to acquire request information of a front-end service, where the request information includes measurement information of a service to be processed;
the calling module 320 is used for calling a preset distributed full-text retrieval engine ES interface and a preset metering platform interface according to the request information;
the second acquisition module 330 is configured to acquire, through the preset ES interface, measurement original data corresponding to the to-be-processed service measurement information;
a third collecting module 340, configured to send the metering raw data to the preset metering platform through the preset metering platform interface, and obtain metering data to be measured through the preset metering platform interface, where the metering data to be measured is obtained by the preset metering platform through calculation of the metering raw data;
the processing module 350 is configured to perform metering processing on the metering raw data to obtain processed metering data;
and the test module 360 is configured to compare the processed metering data with the to-be-tested metering data to obtain a test result.
In one possible implementation, the processing module 350 includes:
the determining submodule is used for determining a preset metering method corresponding to the metering original data according to the type of the metering original data;
and the metering submodule is used for metering the metering original data according to the preset metering method, and the preset metering method comprises a preset conversion method and a preset calculation method.
In a possible implementation, the metering submodule is specifically configured to:
converting the measurement unit of the measurement original data according to a preset conversion method to obtain converted measurement data;
and carrying out metering calculation on the converted metering data according to a preset calculation method to obtain the processed metering data.
In a possible embodiment, the above apparatus further comprises:
and the display module is used for comparing the processed metering data with the to-be-tested metering data to obtain a test result, and then sending the test result to the front end for displaying.
In a possible implementation manner, the test module 360 is specifically configured to:
comparing the processed metering data with the to-be-tested metering data, and when the processed metering data is the same as the to-be-tested metering data, passing the test; and when the processed metering data is different from the to-be-tested metering data, the test is failed.
In a possible embodiment, the above apparatus further comprises:
and the fault module is used for sending preset fault information when the test result is failed.
In a possible implementation manner, the second acquisition module 330 is specifically configured to:
and acquiring the metering original data corresponding to the to-be-processed service metering information through the preset ES interface at a preset frequency.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
An embodiment of the present application further provides an electronic device, referring to fig. 4, where fig. 4 is a schematic diagram of the electronic device according to the embodiment of the present application, and the electronic device includes: a processor 410, a communication interface 420, a memory 430 and a communication bus 440, wherein the processor 410, the communication interface 420 and the memory 430 are communicated with each other through the communication bus 440.
The memory 430 is used for storing computer programs;
the processor 410 is configured to implement the following steps when executing the computer program stored in the memory 430:
acquiring request information of a front-end service, wherein the request information comprises service metering information to be processed;
calling a preset distributed full-text retrieval engine ES interface and a preset metering platform interface according to the request information;
acquiring metering original data corresponding to the to-be-processed service metering information through the preset ES interface;
sending the metering original data to the preset metering platform through the preset metering platform interface, and acquiring metering data to be measured through the preset metering platform interface, wherein the metering data to be measured is obtained by calculating the metering original data through the preset metering platform;
carrying out metering processing on the metering original data to obtain processed metering data;
and comparing the processed metering data with the to-be-tested metering data to obtain a test result.
Optionally, when the processor 410 is configured to execute the program stored in the memory 430, any of the above methods for testing the cloud computing resource metering data applied to the server may also be implemented.
The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the electronic equipment and other equipment.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component.
In an embodiment of the present application, a storage medium is further provided, where instructions are stored in the storage medium, and when the instructions are executed on a computer, the computer is caused to execute any one of the above methods for testing cloud computing resource metering data applied to a client in the foregoing embodiments.
In an embodiment of the present application, there is also provided a computer program product containing instructions, which when run on a computer, causes the computer to execute any one of the above methods for testing cloud computing resource metering data applied to a client.
It should be noted that, in this document, the technical features in the various alternatives can be combined to form the scheme as long as the technical features are not contradictory, and the scheme is within the scope of the disclosure of the present application. Relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the same element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the embodiments of the apparatus, the electronic device, and the storage medium, since they are substantially similar to the method embodiments, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiments.
The above description is only a preferred embodiment of the present application, and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application are included in the protection scope of the present application.
Claims (14)
1. A cloud computing resource measurement data testing method is characterized by comprising the following steps:
acquiring request information of a front-end service, wherein the request information comprises service metering information to be processed;
calling a preset distributed full-text retrieval engine ES interface and a preset metering platform interface according to the request information;
acquiring metering original data corresponding to the to-be-processed service metering information through the preset ES interface;
sending the metering original data to the preset metering platform through the preset metering platform interface, and acquiring metering data to be measured through the preset metering platform interface, wherein the metering data to be measured is obtained by calculating the metering original data by the preset metering platform;
carrying out metering processing on the metering original data to obtain processed metering data;
and comparing the processed metering data with the to-be-tested metering data to obtain a test result.
2. The method according to claim 1, wherein the performing the metering process on the raw metering data to obtain processed metering data comprises:
determining a preset metering method corresponding to the metering original data according to the type of the metering original data;
and carrying out metering processing on the metering original data according to the preset metering method, wherein the preset metering method comprises a preset conversion method and a preset calculation method.
3. The method according to claim 2, wherein the metering the raw metering data according to the preset metering method comprises:
converting the measurement unit of the measurement original data according to a preset conversion method to obtain converted measurement data;
and carrying out metering calculation on the converted metering data according to a preset calculation method to obtain the processed metering data.
4. The method of claim 1, wherein after comparing the processed metrology data to the metrology data to be tested to obtain a test result, the method further comprises:
and sending the test result to the front end for displaying.
5. The method of claim 1, wherein comparing the processed metrology data to the metrology data to be tested to obtain a test result comprises:
comparing the processed metering data with the to-be-tested metering data, and when the processed metering data is the same as the to-be-tested metering data, passing the test; and when the processed metering data is different from the metering data to be tested, the test is failed.
6. The method of claim 5, further comprising:
and when the test result is that the test result does not pass, sending preset fault information.
7. The method according to claim 1, wherein the obtaining of the metering raw data corresponding to the to-be-processed service metering information through the preset ES interface includes:
and acquiring the metering original data corresponding to the to-be-processed service metering information through the preset ES interface at a preset frequency.
8. A cloud computing resource metering data testing system, comprising:
the system comprises a server, a preset distributed full-text retrieval engine and a preset metering platform;
the server is used for acquiring service request information sent by a user and sending the service request information to the preset distributed full-text retrieval engine and the preset metering platform;
the preset distributed full-text retrieval engine is used for acquiring metering original data corresponding to the service request information according to the service request information and sending the metering original data to the server;
the preset metering platform is used for acquiring the metering original data from the server, calculating the metering original data to obtain metering data to be measured, and sending the metering data to be measured to the server;
the server is also used for receiving the metering original data sent by the preset distributed full-text retrieval engine; sending the metering original data to the preset metering platform; receiving the metering data to be measured sent by the preset metering platform; carrying out metering processing on the metering original data to obtain processed metering data; and comparing the processed metering data with the to-be-tested metering data to obtain a test result.
9. The system of claim 8, wherein the server is further configured to:
determining a preset metering method corresponding to the metering original data according to the type of the metering original data;
and carrying out metering processing on the metering original data according to the preset metering method, wherein the preset metering method comprises a preset conversion method and a preset calculation method.
10. The system of claim 9, wherein the server is further configured to:
converting the measurement unit of the measurement original data according to a preset conversion method to obtain converted measurement data;
and carrying out metering calculation on the converted metering data according to a preset calculation method to obtain the processed metering data.
11. The system of claim 8, wherein the server is further configured to:
comparing the processed metering data with the to-be-tested metering data, and when the processed metering data is the same as the to-be-tested metering data, passing the test; and when the processed metering data is different from the metering data to be tested, the test is failed.
12. A cloud computing resource measurement data testing device is characterized by comprising:
the system comprises a first acquisition module, a second acquisition module and a processing module, wherein the first acquisition module is used for acquiring request information of front-end services, and the request information comprises service metering information to be processed;
the calling module is used for calling a preset distributed full-text retrieval engine ES interface and a preset metering platform interface according to the request information;
the second acquisition module is used for acquiring metering original data corresponding to the to-be-processed service metering information through the preset ES interface;
the third acquisition module is used for sending the metering original data to the preset metering platform through the preset metering platform interface and acquiring metering data to be measured through the preset metering platform interface, wherein the metering data to be measured is obtained by calculating the metering original data through the preset metering platform;
the processing module is used for carrying out metering processing on the metering original data to obtain processed metering data;
and the test module is used for comparing the processed metering data with the to-be-tested metering data to obtain a test result.
13. An electronic device, comprising: a processor, a communication interface, a memory, and a communication bus, wherein,
the processor, the communication interface and the memory complete mutual communication through a communication bus;
a memory for storing a computer program;
a processor configured to implement the method for testing cloud computing resource metering data according to any one of claims 1 to 7 when executing a program stored in a memory.
14. A storage medium having stored therein a computer program which, when executed by a processor, implements the cloud computing resource metering data testing method of any one of claims 1-7.
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